Eytan Canzini

Eytan Canzini

PhD Candidate in Control, Research Scientist in Robotics

University of Sheffield

Biography

I am a PhD candidate in Systems & Control Engineering at the University of Sheffield and a Research Scientist at Airbus Robotics. I obtained a Masters of Engineering (1st Class Honours, 4.0 GPA) in Aerospace Engineering with a Year in Industry, where I worked as an Automation Engineer and Robotics deployment specialist.

My current research is focused around using learning-based methods for planning and control, with applications in manufacturing systems for aerospace. I am interested in applications involving control theory, game theory and reinforcement learning to build autonomous agents that can make decisions in uncertain environments.

I am part of the Intelligent Systems, Decisions and Control Group (ISDCG) and I am one of the co-leads of the Robotics And Autonomous Manufacturing Systems Lab (RAMS Lab) where my research is focused on robust control for manipulation.

In my free time, my hobbies surround the outdoors (fishing, hiking, watersports etc.) and tinkering with electronics. I’ll periodically upload photos and videos that I take on my various adventures, along with my ongoing projects.

Interests
  • Space Systems
  • Machine Learning
  • Control Theory
  • Game Theory
  • Multi-Agent Systems
Education
  • PhD in Systems & Control Engineering, 2021-Present

    Department of Automatic Control & Systems Engineering, University of Sheffield

  • MEng Aerospace Engineering w/ Year In Industry, 2016-2021

    Department of Aerospace Engineering, University of Sheffield

Experience

 
 
 
 
 
Graduate Teaching Assistant
Faculty of Engineering, University of Sheffield
August 2021 – Present Sheffield, UK

Working as a GTA during PhD studies, towards acquiring Fellowship of the Higher Education Academy (FHEA) Modules include:

  • First year MATLAB teaching and help with lab sessions
  • Embedded system programming and software design
  • Optimal control methods for aerospace applications
  • Group project work on reinforcement learning for legged robots and final year aerospace engineers
 
 
 
 
 
Visiting Researcher
Robotics Systems Lab (RSL), ETH Zurich
July 2022 – July 2022 Zurich, Switzerland
Joined RSL as a Visiting Researcher and took part in the Robotics Summer School
 
 
 
 
 
Robotics & Automation Engineer
ASM Assembly Systems Ltd.
July 2019 – July 2021 Weymouth, UK

Responsibilities included:

  • Developing autonomous manipulation methods for semiconductor manufacturing
  • Using machine learning for prediction of parts failure during assembly
  • Deploying a variety of robotic platforms including mobile robots, manipulators and CNC machines
 
 
 
 
 
Systems Engineer
CAV Ice Protection Systems Inc.
June 2017 – September 2017 Durham, UK
Worked on developing autonomous test systems for aerospace systems

Accomplish­ments

Member of RAeS (MRAeS)
Joined as a Member of the Royal Aeronautical Society
Member of IEEE (MIEEE)
Joined as a Member of the Institute for Electrical and Electronic Engineers

Projects

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Decision Making For Autonomous Agents
Learning dynamics between multiple agents in a team for robust decision making
Decision Making For Autonomous Agents
External Project
An example of linking directly to an external project website using external_link.
External Project

Gallery

Recent Publications

To search through my publications, consider filtering publications.
(2024). Decision Making For Multi-Robot Fixture Planning Using Multi-Agent Reinforcement Learning. IEEE T-ASE.

PDF Cite Code Project DOI

(2022). A novel sensing template using data fusion for large volume assembly. In IMS 2022.

PDF Cite Source Document DOI

(2015). An example journal article. Journal of Source Themes, 1(1).

PDF Cite Code Slides

Contact

If you want to collaborate or have questions about my research, please feel free to reach out. You can send me an email or reach out to me on Twitter/X.